Wavelets and electromagnetic power system transients

Robertson, David; Camps, Octavia; Mayer, J.S.; Gish, William B.

doi:10.1109/61.489367

Cited by 474 publications

(159 citation statements)

References 11 publications

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“…Robertson et al (1996) e Oleskovicz et al (2006) apresentaram estudos comparativos entre a TWD e outras técnicas, mostrando exemplos de aplicação e as vantagens da utilização da TWD na extração de características e análise de distúr-bios transitórios. Bollen and Gu (2006) apresentaram um exemplo prático para detecção e localização dos instantes inicial e final de um afundamento de tensão.…”

Section: Introductionunclassified

Detecção de faltas evolutivas e múltiplos distúrbios em registros oscilográficos baseada na transformada wavelet discreta

Souza

Brito

2010

Sba Controle & Automação

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RESUMOApresenta-se neste artigo um método de detecção automática de faltas baseado na análise da energia janelada dos coeficientes wavelet das tensões e correntes de fase. O método é capaz de detectar faltas evolutivas e de múltiplos distúrbios transitórios, a exemplo de uma falta seguida por um religamento automático, capturados no mesmo registro oscilográ-fico. O método também consegue distinguir faltas de algumas ocorrências relacionadas à qualidade da energia elétrica, tais como afundamento de tensão e transitórios de chaveamento. O método é eficaz na identificação dos instantes inicial e final da falta, além de conseguir analisar sinais referentes a linhas de transmissão de diferentes classes de tensão e que tenham sido registrados com frequências de amostragem diversas. Em avaliação de desempenho com registros oscilográficos simulados e reais, o método apresentou bons resultados.PALAVRAS CHAVES: Falta evolutiva, registros com múlti-plos distúrbios, transformada wavelet. This paper presents an automatic fault detection method based on the analysis of the wavelet coefficient energies of the phase voltages and currents. The method detects developing faults and multiple transient disturbances such as a fault followed by an automatic line reclosing in a single oscillographic record. The method also sort fault from some power quality disturbances such as voltage sags and switching transients. The times regarding the fault inception and clearance are also identified. Records from a nonspecific line in a generic network with different sampling rates and rated voltages can be evaluated without distinction. The performance of the method was evaluated for both actual and simulated data and good results were obtained. ABSTRACT Detection of Crosscountry Fault and Multiple Distur-

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Section: Introductionunclassified

Detecção de faltas evolutivas e múltiplos distúrbios em registros oscilográficos baseada na transformada wavelet discreta

Souza

Brito

2010

Sba Controle & Automação

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“…The orthogonality condition is validated using the expression (3), for which the filter bank A is divided in submatrices A j of (2, 2), where j takes values from 0 up to 3 . Therefore, substituting submatrices A j into (3) gives as a result the following expression:…”

Section: Filter Bank Validationmentioning

confidence: 99%

“…WT has been widely used in different applications of power systems for signal processing, because it has proved to be a powerful technique for analyzing non-periodic signals [3]. This fact has motivated the development of researches in different applications of power systems, where the high frequency components of signals are taken into account, such as in [4], where an algorithm based on transient energy in presented for distinguishing internal or external faults on transmission lines.…”

Section: Introductionmentioning

confidence: 99%

A New Adaptive Mother Wavelet for Electromagnetic Transient Analysis

Guillén

Idárraga-Ospina

Cortes

2016

Journal of Electrical Engineering

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Wavelet Transform (WT) is a powerful technique of signal processing, its applications in power systems have been increasing to evaluate power system conditions, such as faults, switching transients, power quality issues, among others. Electromagnetic transients in power systems are due to changes in the network configuration, producing non-periodic signals, which have to be identified to avoid power outages in normal operation or transient conditions. In this paper a methodology to develop a new adaptive mother wavelet for electromagnetic transient analysis is proposed. Classification is carried out with an innovative technique based on adaptive wavelets, where filter bank coefficients will be adapted until a discriminant criterion is optimized. Then, its corresponding filter coefficients will be used to get the new mother wavelet, named wavelet ET, which allowed to identify and to distinguish the high frequency information produced by different electromagnetic transients.

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“…identification and classification) in electrical power systems (voltage and current) during the last twenty years (Ribeiro, 1994;Robertson et al, 1994). The wavelet analysis was firstly applied to power system protection, power quality measurement, detection of power system transients, partial discharges, forecasting of electrical loads due to its its capability for fast and accurate identification of transients (Castro & Diaz, 2002).…”

Section: Wavelet Analysis Applied To Power Convertersmentioning

confidence: 99%